Classification of Spreadsheet Errors
Kamalasen Rajalingham, David R. Chadwick, Brian Knight
TL;DR
This paper proposes a systematic classification framework for spreadsheet errors to improve understanding and analysis of different error types, supported by examples and aimed at addressing the widespread issue.
Contribution
It introduces a novel taxonomy of spreadsheet errors, providing a structured approach for error analysis and comprehension.
Findings
Developed a comprehensive error classification framework
Enhanced understanding of error types through detailed categories
Supported by illustrative examples
Abstract
This paper describes a framework for a systematic classification of spreadsheet errors. This classification or taxonomy of errors is aimed at facilitating analysis and comprehension of the different types of spreadsheet errors. The taxonomy is an outcome of an investigation of the widespread problem of spreadsheet errors and an analysis of specific types of these errors. This paper contains a description of the various elements and categories of the classification and is supported by appropriate examples.
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Taxonomy
TopicsSpreadsheets and End-User Computing · Engineering Education and Pedagogy · Statistics Education and Methodologies